Scour detection with monitoring methods and machine learning algorithms - a critical review

Detalhes bibliográficos
Autor(a) principal: Tola, Sinem
Data de Publicação: 2023
Outros Autores: Tinoco, Joaquim, Matos, José C., Obrien, Eugene
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/84726
Resumo: Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.
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spelling Scour detection with monitoring methods and machine learning algorithms - a critical reviewBridge scourScour detectionScour monitoringMachine learning algorithmsEngenharia e Tecnologia::Engenharia CivilScience & TechnologyFoundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.This research was funded by FCT (Portuguese national funding agency for science, research, and technology)/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020 and trough the doctoral Grant 2021.06162.BD. This work has also been partly financed within the European Horizon 2020 Joint Technology Initiative Shift2Rail through contract no. 101012456 (IN2TRACK3).Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoTola, SinemTinoco, JoaquimMatos, José C.Obrien, Eugene2023-01-282023-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/84726engTola, S.; Tinoco, J.; Matos, J.C.; Obrien, E. Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review. Appl. Sci. 2023, 13, 1661. https://doi.org/10.3390/app130316612076-341710.3390/app130316611661https://www.mdpi.com/2076-3417/13/3/1661info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:17:00Zoai:repositorium.sdum.uminho.pt:1822/84726Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:09:33.919087Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Scour detection with monitoring methods and machine learning algorithms - a critical review
title Scour detection with monitoring methods and machine learning algorithms - a critical review
spellingShingle Scour detection with monitoring methods and machine learning algorithms - a critical review
Tola, Sinem
Bridge scour
Scour detection
Scour monitoring
Machine learning algorithms
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
title_short Scour detection with monitoring methods and machine learning algorithms - a critical review
title_full Scour detection with monitoring methods and machine learning algorithms - a critical review
title_fullStr Scour detection with monitoring methods and machine learning algorithms - a critical review
title_full_unstemmed Scour detection with monitoring methods and machine learning algorithms - a critical review
title_sort Scour detection with monitoring methods and machine learning algorithms - a critical review
author Tola, Sinem
author_facet Tola, Sinem
Tinoco, Joaquim
Matos, José C.
Obrien, Eugene
author_role author
author2 Tinoco, Joaquim
Matos, José C.
Obrien, Eugene
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Tola, Sinem
Tinoco, Joaquim
Matos, José C.
Obrien, Eugene
dc.subject.por.fl_str_mv Bridge scour
Scour detection
Scour monitoring
Machine learning algorithms
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
topic Bridge scour
Scour detection
Scour monitoring
Machine learning algorithms
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
description Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-28
2023-01-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/84726
url https://hdl.handle.net/1822/84726
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Tola, S.; Tinoco, J.; Matos, J.C.; Obrien, E. Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review. Appl. Sci. 2023, 13, 1661. https://doi.org/10.3390/app13031661
2076-3417
10.3390/app13031661
1661
https://www.mdpi.com/2076-3417/13/3/1661
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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